class_docstr: Test the output of the MPS template.
code: def circuit2_MPS(weights, wires):
      SELWeights1 = np.array(
          [
              [
                  [weights[0][0], weights[0][1], weights[0][2]],
                  [weights[0][0], weights[0][1], weights[0][2]],
              ]
          ]
      )
      SELWeights2 = np.array(
          [
              [
                  [weights[1][0], weights[1][1], weights[1][2]],
                  [weights[1][0], weights[1][1], weights[1][2]],
              ]
          ]
      )
      qml.StronglyEntanglingLayers(SELWeights1, wires=wires[0:2])
      qml.StronglyEntanglingLayers(SELWeights2, wires=wires[1:3])
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane.templates.tensornetworks.mps import compute_indices_MPS, MPS
label_desc: Use image node_id 4 for calling the TestTemplateOutputs obj's underlying member method code with example usage: obj.circuit2_MPS(weights, wires) without return types